R&D Researcher – AI and Machine Learning
Salary not listed • Warren, Michigan, United States of America • Full-time
Posted 9d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Job Location
Warren, Michigan, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
General Motors is seeking a researcher to develop and apply artificial intelligence and machine learning solutions for advanced manufacturing systems. This role will focus on applying AI/ML to real-world manufacturing challenges involving process improvement, quality, automation, production efficiency, and decision support. The researcher will work with multidisciplinary teams to develop new concepts, build prototypes, evaluate results, and help transition successful solutions into manufacturing applications.
Responsibilities
- Conduct applied research and technical development at the intersection of AI/ML and manufacturing systems.
- Collaborate with researchers, manufacturing engineers, plant personnel, operational teams, and external partners to identify opportunities and develop practical solutions.
- Develop and evaluate AI/ML models for manufacturing engineering and production applications.
- Build data pipelines, prototypes, analytical tools, and decision-support solutions.
- Apply methods including machine learning, deep learning, generative AI, large language models, computer vision, time-series modeling, and optimization.
- Work with manufacturing data from sensors, equipment, processes, simulations, and operational systems.
- Translate engineering and manufacturing challenges into research questions and technical plans.
- Design experiments, validate results, and assess technical and business impact.
- Evaluate emerging AI/ML technologies and determine their potential value for GM manufacturing systems.
- Communicate technical results through presentations, reports, publications, and invention disclosures.
- Maintain current knowledge of AI/ML methods, tools, and responsible AI practices.
Requirements
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Applied Mathematics, Physics, or a related field.
- Experience developing and evaluating AI/ML models through academic research, industrial research, internships, or applied engineering projects.
- Proficiency in Python and experience with AI/ML frameworks or analytical tools.
- Knowledge of data preparation, model training, validation, performance evaluation, and experiment design.
- Experience working with structured or unstructured data, such as sensor, time-series, image, text, or process data.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Ability to work independently and contribute effectively to a multidisciplinary research team.
Benefits
- Relocation benefits are available for candidates who qualify under company policy.